Jonathan R. Wolpaw
- Cognitive Neuroscience top 0.01%
- Cellular and Molecular Neuroscience top 0.01%
- Human-Computer Interaction top 0.01%
- Electrical and Electronic Engineering top 0.5%
- Biomedical Engineering top 0.2%
- Co-authors
- Dennis J. McFarlandTheresa M. VaughanNiels BirbaumerGerwin SchalkGert PfurtschellerDean J. KrusienskiEric W. SellersThilo Hinterberger
- Topics
- EEG and Brain-Computer Interfaces (121 papers)Neuroscience and Neural Engineering (91 papers)Transcranial Magnetic Stimulation Studies (62 papers)
- Partner nations
- United StatesAustriaItaly
In The Last Decade
Jonathan R. Wolpaw
249 papers receiving 32.2k citations
Hit Papers
Peers
Comparison fields: 5 of 171
- Cognitive Neuroscience 29.2k
- Cellular and Molecular Neuroscience 16.5k
- Human-Computer Interaction 6.1k
- Electrical and Electronic Engineering 5.4k
- Biomedical Engineering 4.6k
Countries citing papers authored by Jonathan R. Wolpaw
This map shows the geographic impact of Jonathan R. Wolpaw's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jonathan R. Wolpaw with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan R. Wolpaw more than expected).
Fields of papers citing papers by Jonathan R. Wolpaw
This network shows the impact of papers produced by Jonathan R. Wolpaw. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jonathan R. Wolpaw. The network helps show where Jonathan R. Wolpaw may publish in the future.
Co-authorship network of co-authors of Jonathan R. Wolpaw
This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan R. Wolpaw. A scholar is included among the top collaborators of Jonathan R. Wolpaw based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jonathan R. Wolpaw. Jonathan R. Wolpaw is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 8 | |
| 4 | 7 | |
| 5 | 34 | |
| 6 | 36 | |
| 7 | 79 | |
| 8 | 37 | |
| 9 | 88 | |
| 10 | 296 | |
| 11 | 236 | |
| 12 | 34 | |
| 13 | 81 | |
| 14 | The BCI competition III: validating alternative approaches to actual BCI problemsbreakdown → | 694 |
| 15 | 207 | |
| 16 | 55 | |
| 17 | 50 | |
| 18 | 60 | |
| 19 | 45 | |
| 20 | EEG-based brain computer interface (BCI). Search for optimal electrode positions and frequency components. | 45 |
About Jonathan R. Wolpaw
Jonathan R. Wolpaw is a scholar working on Neurology, Cognitive Neuroscience and Cellular and Molecular Neuroscience, having authored 256 papers that have together received 33.5k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (121 papers), Neuroscience and Neural Engineering (91 papers) and Transcranial Magnetic Stimulation Studies (62 papers). The work is most often cited by research in Cognitive Neuroscience (29.2k citations), Human-Computer Interaction (6.1k citations) and Cellular and Molecular Neuroscience (16.5k citations). Jonathan R. Wolpaw has collaborated with scholars based in United States, Austria and Italy. Frequent co-authors include Dennis J. McFarland, Theresa M. Vaughan, Niels Birbaumer, Gerwin Schalk, Gert Pfurtscheller, Dean J. Krusienski, Eric W. Sellers, Thilo Hinterberger, Janis J. Daly and Xiang Yang Chen. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and JAMA.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.